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An Analysis of Decadal Land Change in Latin America and the Caribbean Mapped from 250-m MODIS Data

机译:基于250米MODIS数据的拉丁美洲和加勒比十年土地变化分析。

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We present a method to map annual land-use/land-cover (LULC) change using low-cost and consistent data from the MODIS satellite and Google Earth reference data. Our LULC maps cover Latin America and the Caribbean from years 2001 to 2009, have a 250-m pixel size, and include eight general classes. Maps were produced within 27 separate zonal biomes using the Random Forests classifier. We found that accuracy of the maps is sensitive to broad climatic and vegetation differences encapsulated by biomes, with an average 84.9% (s.d±6.3%) overall accuracy for a five-class reclassification. Trends in woody vegetation area were analyzed using all years and pixels aggregated at ecoregion and municipality scales. The largest hotspots of deforestation were in South America, concentrated mostly in moist forests around the south to west Amazon basin and western edge of Atlantic forests, and dry forests in the Chaco ecoregions of northern Argentina. Driving factors included mostly pastures for cattle and industrial-scale agriculture for global export We also detected increasing woody vegetation in northern Mexican deserts and in dry forests of southern Bolivia. Although not thoroughly evaluated, possible factors driving increased woody vegetation could be local increase in precipitation and the mitigating influence of protected areas.
机译:我们提供了一种使用MODIS卫星的低成本且一致的数据和Google Earth参考数据来绘制年度土地利用/土地覆盖(LULC)变化图的方法。我们的LULC地图涵盖了2001年至2009年期间的拉丁美洲和加勒比海地区,像素大小为250米,并包括8个普通类别。使用随机森林分类器在27个单独的区域生物群落内绘制了地图。我们发现,地图的准确性对由生物群落封装的广泛的气候和植被差异敏感,五类重新分类的平均总体准确性为84.9%(s.d±6.3%)。使用所有年份分析了木质植被面积的趋势,并以生态区域和市政规模汇总了像素。毁林最大的地区是南美,主要集中在亚马逊河南至西,大西洋沿岸西部的潮湿森林和阿根廷北部查科生态区的干旱森林。驱动因素主要包括用于全球出口的牛牧场和工业规模农业。我们还发现墨西哥北部沙漠和玻利维亚南部干旱森林中的木本植物数量增加。尽管尚未进行彻底评估,但推动木质植被增加的可能因素可能是降雨的局部增加和保护区的减轻影响。

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